Head of Machine Learning

• Jan 2023 - Present

Machine Learning Engineer and Instructor

• Jul 2022 - Jun 2023

Senior Data Scientist

• Aug 2021 - Jul 2022

Forecasting demand (volume of trade) on major ports along the world and ship (predicted) ETAs on ports. - Developed the production ready Data Science backend for forecasting on-port-demand at various aggregates. Scale: Daily-Monthly-Yearly forecast for close to a thousand port pairs and multiple levels of product hierarchy (100K time series, weekly, automated.) - End goal achieved: This entire product now runs fully automatically and the tech team has migrated to the ETA product, leaving this to a 0 cost, only profit product. - Also served as the Product Manager for Demand Forecasting. - Re-architected data science engine for the Estimated-Time-of-Arrival (ETA) product. Show less

AI Engineer

• May 2020 - Nov 2021

AI Pipelines automation and infrastructure-as-a-service. - Worked directly with the CEO in a small 2 person RnD team with the chief solution architect for prototyping architectures and package-able AI solutions. - Re-architected the platform for AI pipelines and experiments. Direct competitor with the likes of Airflow, Kubeflow, CometML, MLFlow, Polyaxon, etc. Some pieces I worked are: CLI, DB, API, code versioning, data versioning, dynamic-DAG-distributed pipelines, transports, executors, monitoring, re-producting, etc. - A python library for distributed reinforcement learning. - Fully packaged deployable solutions for general purpose Image Classification and legal document summarisation and indexing. - First class python API for document OCR consumption and algorithm development (think pandas for OCRed documents). Including intelligent OCR solutions competing with google computer vision. Show less

Data Scientist

• Apr 2019 - May 2020

Fulfilment solutions for inventory placement, positioning and sell-through optimisation through Intelligent Initial Allocation, ISTs and Replenishments. - Developed, own and maintain the pipeline for Inter-Store-Transfers and Replenishments used across multiple clients. - Run POCs for ISTs, Replenishments and Monte-Carlo simulations to find optimal Initial Allocation Quantities. - Improve Optimization modules based on ground level feedback and performance reports to keep the product evolving. - Developed dashboards and report generation modules for adherence, value creation and business insights. Show less

Electronics Intern

• Jul 2017 - Aug 2017

Making more efficient wind turbines. - Prototyped an intelligent wind turbine, the POC experiment and instrumentation to prove efficiency improvement over conventional wind turbines using a patented technique. - Developed the maths, designed the simulation to replicate the experiment results, developed and improved the control system algorithm to enable the efficiency improvement. - Designed the electronics and programmed the control algorithm on a micro-controller fit in the hub of the turbine prototype Show less